| A.1 |
Focus first on opportunities - workflows that are error-prone, costly in terms of time or resources, or under-staffed or otherwise constrained. |
| A.2 |
Use Arcade and Python to improve data editing and capture workflows, automate processes with multiple steps, and improve data quality. |
| A.3 |
Where possible, use infrastructure automation and software deployment automation in the process of designing and building your system. Select tools and workflows that align to your organization’s existing expertise or practices. Especially in the case of business or mission-critical systems, automation of infrastructure and deployment is important. |
| A.4 |
Ensure that automated workflows or batch processes are observable, by creating logs and monitoring approaches that can help to troubleshoot a failing process, or measure the success of an automation in time saved or quality improved. |